28 datasets found
  1. GDP of the U.S. attributed to transportation by mode and type of...

    • statista.com
    Updated Oct 27, 2022
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    Statista (2022). GDP of the U.S. attributed to transportation by mode and type of transportation 2019 [Dataset]. https://www.statista.com/statistics/1342180/united-states-gdp-attributed-to-transportation-by-mode-type/
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    Dataset updated
    Oct 27, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United States
    Description

    In 2019, the trucking industry was responsible for the highest contribution to the United States' GDP within the U.S. transportation sector. That year, the trucking industry contributed ***** billion U.S. dollars to the U.S. GDP.

  2. Direct GVA contribution to GDP of the EU shipping industry by sub-sector...

    • statista.com
    Updated Nov 15, 2020
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    Statista (2020). Direct GVA contribution to GDP of the EU shipping industry by sub-sector 2018 [Dataset]. https://www.statista.com/statistics/1313304/gva-contribution-to-gdp-eu-shipping-industry/
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    Dataset updated
    Nov 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    European Union
    Description

    In 2018, the shipping industry of the European Union (EU-28) contributed a direct gross value added (GVA) to the EU's GDP of about **** billion euros. The freight transport sub-sector added most of this value - some **** billion euros.

  3. H

    Hong Kong SAR, China GDP: ES: Transport: Sea: Freight

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Hong Kong SAR, China GDP: ES: Transport: Sea: Freight [Dataset]. https://www.ceicdata.com/en/hong-kong/gdp-trade-in-services-msits-2010-current-price-by-major-service-component-service-group-and-service-item-annual/gdp-es-transport-sea-freight
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2009 - Dec 1, 2016
    Area covered
    Hong Kong
    Variables measured
    Gross Domestic Product
    Description

    Hong Kong GDP: ES: Transport: Sea: Freight data was reported at 48,474.000 HKD mn in 2016. This records a decrease from the previous number of 67,511.000 HKD mn for 2015. Hong Kong GDP: ES: Transport: Sea: Freight data is updated yearly, averaging 78,229.500 HKD mn from Dec 2009 (Median) to 2016, with 8 observations. The data reached an all-time high of 81,029.000 HKD mn in 2014 and a record low of 48,474.000 HKD mn in 2016. Hong Kong GDP: ES: Transport: Sea: Freight data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong – Table HK.A171: SNA 2008: GDP: Trade in Services: MSITS 2010: Current Price: by Major Serv Component, Serv Group & Serv Item (Annual).

  4. Global Maritime Freight Transport Market Size By Cargo Type, By Industry...

    • verifiedmarketresearch.com
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    VERIFIED MARKET RESEARCH, Global Maritime Freight Transport Market Size By Cargo Type, By Industry Type, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/maritime-freight-transport-market/
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    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Maritime Freight Transport Market size was valued at USD 372.52 Billion in 2024 and is projected to reach USD 468.51 Billion by 2031, growing at a CAGR of 4.30% during the forecast period 2024-2031.

    Global Maritime Freight Transport Market Drivers

    Global Trade and Economic Activity: The demand for maritime freight transport is closely tied to global trade volumes and economic activity. Factors such as GDP growth, consumer demand, and international trade agreements impact the movement of goods via maritime shipping.

    Commodity Demand and Supply Chains: Demand for maritime freight transport is driven by the need to transport various commodities such as raw materials, manufactured goods, and energy resources across global supply chains. Industries like manufacturing, agriculture, and energy rely heavily on maritime shipping for transportation.

    Shipping Capacity and Fleet Expansion: The availability of shipping capacity, including vessels, containers, and port infrastructure, influences the dynamics of the maritime freight transport market. Investments in fleet expansion, vessel efficiency, and port infrastructure impact the industry's capacity to meet demand.

    Fuel Prices and Operating Costs: Fluctuations in fuel prices and operating costs affect the profitability and competitiveness of maritime freight transport. Shipping companies monitor fuel prices closely and adopt fuel-efficient technologies to manage costs and remain competitive.

    Regulatory Environment: Regulatory factors such as environmental regulations, safety standards, and trade policies impact the maritime freight transport market. Compliance with international regulations, such as IMO regulations on emissions and ballast water management, influences industry practices and investment decisions.

    Technological Advancements: Technological innovations, such as digitalization, automation, and blockchain, are transforming the maritime freight transport industry. Adoption of digital platforms for booking, tracking, and documentation streamlines operations and enhances efficiency.

    Environmental Sustainability: Growing concerns about environmental sustainability drive initiatives to reduce emissions and improve the environmental performance of maritime shipping. Adoption of cleaner fuels, alternative propulsion systems, and eco-friendly practices shape the industry's response to sustainability challenges.

    Trade Routes and Market Dynamics: Changes in trade routes, market demand, and geopolitical factors influence shipping patterns and route optimization in the maritime freight transport market. Market shifts, such as the rise of e-commerce or changes in manufacturing locations, impact shipping demand.

    Infrastructure Investments and Port Efficiency: Investments in port infrastructure, dredging, and intermodal connectivity enhance port efficiency and capacity, facilitating the movement of goods through maritime freight transport. Improvements in port infrastructure drive growth in container throughput and shipping volumes.

    Market Competition and Alliances: Intense competition among shipping lines, alliances, and logistics providers shapes market dynamics in the maritime freight transport industry. Strategic alliances, mergers, and acquisitions impact market consolidation and competitive strategies among industry players.

  5. GDP from sea transport Indonesia 2014-2023

    • statista.com
    Updated Jun 26, 2024
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    Statista (2024). GDP from sea transport Indonesia 2014-2023 [Dataset]. https://www.statista.com/statistics/1019364/indonesia-gdp-sea-transport/
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    Dataset updated
    Jun 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Indonesia
    Description

    In 2023, preliminary figures showed that the gross domestic product (GDP) from sea transport in Indonesia amounted to ***** trillion Indonesian rupiah. The GDP derived from sea transport in Indonesia slightly increased in that year.

  6. Unitisation in rail freight transport- tonne-kilometre for gross-gross...

    • ec.europa.eu
    Updated Mar 27, 2025
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    Eurostat (2025). Unitisation in rail freight transport- tonne-kilometre for gross-gross weight of goods [Dataset]. http://doi.org/10.2908/TRAN_IM_URAIL
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    application/vnd.sdmx.genericdata+xml;version=2.1, application/vnd.sdmx.data+csv;version=2.0.0, json, application/vnd.sdmx.data+xml;version=3.0.0, application/vnd.sdmx.data+csv;version=1.0.0, tsvAvailable download formats
    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2007 - 2023
    Area covered
    Portugal, Sweden, Poland, Belgium, Montenegro, Norway, Hungary, Switzerland, France, Slovenia
    Description

    A set of five indicators on the freight unitisation rate of the different modes of transport, i.e. transport in containers and other ‘intermodal transport units’ (ITU) as share of the total freight transport performance by the respective transport mode, are currently compiled by Eurostat. In addition, a dataset is provided for comparison of unitisation across these modes of transport at EU level; to make the data comparable, tonnes-kilometres (TKM) have been estimated for short sea shipping and deep sea shipping, and gross weight of goods has been estimated for rail transport and inland waterways transport. These indicators are:

    • Unitisation in the different modes of transport (based on TKM for gross weight of goods) (tran_ui_umod).
    • Unitisation road freight transport (based on tonnes-kilometres for gross weight of goods) (tran_im_uroad).
    • Unitisation in rail freight transport (based on tonnes-kilometres for gross-gross weight of goods) (tran_im_urail).
    • Unitisation in inland waterways freight transport (based on tonnes-kilometres for gross-gross weight of goods) (tran_im_uiww).
    • Unitisation in maritime freight transport (based on tonnes for gross weight of goods) (tran_im_umar).

    Furthermore, indicators on the potential for modal shift in road freight transport are compiled by Eurostat. These indicators relates the transport of containers over longer distances (more than 300 kilometres) to total road ITU transport and to total road goods transport, providing information for analysis of the potential for transferring such long-distance transport of containers from road to other modes of transport. This indicator may be combined with indicators on the emission levels of goods transport on road and for other modes of transport in order to analyse actual effects on emissions by such a modal shift. One indicator based on tonnes-kilometres and one based on tonnes are produced:

    • Modal shift potential of long-distance road freight in containers (based on TKM) (tran_im_mosp).
    • Modal shift potential of long-distance road freight in containers (based on tonnes) (tran_im_mospt).

    Common for all of these indicators is that they use data already available from existing statistics, and thus do not create any additional burden on reporting countries and the initial respondents. The indicators have been produced using Road, Rail, Inland waterways and Maritime transport data, available within the European Statistical System. More detailed information can be found at this website.

  7. Modal split of inland freight transport

    • ec.europa.eu
    Updated Oct 10, 2025
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    Eurostat (2025). Modal split of inland freight transport [Dataset]. http://doi.org/10.2908/TRAN_HV_FRMOD
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    application/vnd.sdmx.data+xml;version=3.0.0, application/vnd.sdmx.data+csv;version=2.0.0, application/vnd.sdmx.data+csv;version=1.0.0, application/vnd.sdmx.genericdata+xml;version=2.1, json, tsvAvailable download formats
    Dataset updated
    Oct 10, 2025
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2005 - 2023
    Area covered
    Slovakia, Luxembourg, Norway, Malta, Lithuania, Bulgaria, Poland, Finland, European Union - 28 countries (2013-2020), United Kingdom
    Description

    This indicator is defined as the percentage of each mode of transport in the total transport performance measured in tonne-kilometres (tkm) for freight or passenger-kilometres (pkm) for passenger transport.

    Modal split is calculated for freight transport as well as for passengers transport. Several configurations of this indicator are available to allow specific data analysis.

    The modal split of freight transport is based on:

    • six modes of transport: air, maritime, road, rail, inland waterway and oil pipelines (tran_hv_ms_frmod6)
    • five modes of transport: air, maritime, road, rail and inland waterway (tran_hv_ms_frmod)
    • inland modes (three modes) of transport: road, rail and inland waterway (tran_hv_frmod),

    Whereas passenger transport includes:

    • road (passenger cars and ‘buses and coaches’, separately), rail (trains), air (aircraft) and maritime (seagoing vessels) (tran_hv_ms_psmod)
    • inland modes of transport: road (passenger cars and ‘buses and coaches’, separately) and rail (trains) (tran_hv_psmod)

    Transport performance (in tonne-kilometres or passenger-kilometres) follows the ‘territoriality principle’. ‘Territoriality principle’ means that only freight and passenger transport performed within the territory of a country is considered.

    Transport data on freight and passengers are mostly collected according to the legal acts adopted for each mode of transport. In some cases additional calculations done by Eurostat are necessary for the calculation of the modal split indicators:

    • Rail and inland waterway transport are reported by the countries, based on movements on national territory, regardless of the nationality of the vehicle or vessel.
    • Road freight transport is based on all movements of vehicles registered in the reporting country. Thus road freight transport, and particularly the part of international transport, was ‘territorialised’ by Eurostat as it is reported by the countries on the basis of the nationality of the haulier, not on the basis of where the transport was carried out. This redistribution involves modelling the likely journey itinerary and projecting it on the European road network and it is computed by Eurostat with the help of a distance matrix tool (TERCET).
    • Air transport is reported by the countries based on passengers or freight/mail carried between a pair of airports. Eurostat calculated tkm and pkm for each airport pairs using a distance matrix. In terms of air transport, 'territorialisation' means that the transport performed in the air space is allocated to the countries overflown on each air transport route. This is done with the help of distance matrix, based on the ‘greater-circle’ distance, which is the shortest distance between two points on the surface of a sphere. The distance for each country is calculated based on its national airspace, which includes territorial waters of 12 nautical miles off its coast. Distances covered beyond the national airspace are not considered.
    • Maritime transport is reported by the countries based on passengers or freight carried between a pair of ports. First, Eurostat calculated tkm or pkm for each pair of ports using a distance matrix. Then, the calculated tkm/pkm are ‘territorialised’ by allocating them proportionally to the countries, according to the distance passed in the Exclusive Economic Zones (EEZ) of each country. Distances covered beyond the EEZ are not considered.

    It must be highlighted that the methodology of the ‘territorialised’ air and maritime transport performance is a concept used mainly for comparing the transport modes' activity at countries' level. The resulting statistics are not comparable with statistics on energy consumption in transport or with GHG emissions as these are based on different methodologies.

    Road passenger transport and oil pipeline data are provided voluntary within the Eurostat/ITF/UNECE Common Questionnaire on Transport Statistics.

  8. N

    Norway NO: GDP: Volume: Fixed Investment: Shipping Industry

    • ceicdata.com
    Updated Jan 10, 2025
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    CEICdata.com (2025). Norway NO: GDP: Volume: Fixed Investment: Shipping Industry [Dataset]. https://www.ceicdata.com/en/norway/gdp-by-expenditure-volume-forecast-oecd-member-annual/no-gdp-volume-fixed-investment-shipping-industry
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    Dataset updated
    Jan 10, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2015 - Dec 1, 2026
    Area covered
    Norway
    Variables measured
    Household Income and Expenditure Survey
    Description

    Norway NO: GDP: Volume: Fixed Investment: Shipping Industry data was reported at 11.176 NOK bn in 2026. This stayed constant from the previous number of 11.176 NOK bn for 2025. Norway NO: GDP: Volume: Fixed Investment: Shipping Industry data is updated yearly, averaging 24.811 NOK bn from Dec 1978 (Median) to 2026, with 49 observations. The data reached an all-time high of 63.651 NOK bn in 1982 and a record low of -1.740 NOK bn in 2015. Norway NO: GDP: Volume: Fixed Investment: Shipping Industry data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Norway – Table NO.OECD.EO: GDP by Expenditure: Volume: Forecast: OECD Member: Annual. ISHV - Gross fixed capital formation of the shipping industry, volume

  9. YoY change in global container transport volumes 2015-2022

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). YoY change in global container transport volumes 2015-2022 [Dataset]. https://www.statista.com/statistics/1267931/yoy-change-in-container-transport-volumes-worldwide-monthly/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    After taking a hit in 2020 amid the COVID-19 pandemic, both global GDP and container shipping volume are projected to grow in 2021 and 2022. While global GDP contracted by some *** percent in 2020 compared with the previous year, it is expected to grow by *** percent in 2021. Similarly, while the volume of containers shipped worldwide in 2020 shrank by *** percent compared with 2019, it is projected to grow by *** percent in 2021.

  10. A

    Azerbaijan AZ: Inland Waterways Freight Transport: Tonne-km per One Thousand...

    • ceicdata.com
    Updated Dec 15, 2021
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    CEICdata.com (2021). Azerbaijan AZ: Inland Waterways Freight Transport: Tonne-km per One Thousand Units of Current USD GDP [Dataset]. https://www.ceicdata.com/en/azerbaijan/freight-transport-by-mode-of-transport-non-oecd-member-annual/az-inland-waterways-freight-transport-tonnekm-per-one-thousand-units-of-current-usd-gdp
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    Dataset updated
    Dec 15, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    Azerbaijan
    Description

    Azerbaijan Inland Waterways Freight Transport: Tonne-km per One Thousand Units of Current USD GDP data was reported at 56.001 Ratio in 2023. This records an increase from the previous number of 43.625 Ratio for 2022. Azerbaijan Inland Waterways Freight Transport: Tonne-km per One Thousand Units of Current USD GDP data is updated yearly, averaging 131.902 Ratio from Dec 1994 (Median) to 2023, with 30 observations. The data reached an all-time high of 2,131.433 Ratio in 1994 and a record low of 43.625 Ratio in 2022. Azerbaijan Inland Waterways Freight Transport: Tonne-km per One Thousand Units of Current USD GDP data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Azerbaijan – Table AZ.OECD.ITF: Freight Transport by Mode of Transport: Non OECD Member: Annual. [COVERAGE] INLAND WATERWAYS FREIGHT TRANSPORT Inland waterways freight transport is any movement of goods using IWT vessels which is undertaken wholly or partly on navigable inland waterways. Bunkers and stores supplied to vessels in ports are excluded. When an IWT vessel is being carried on another vehicle, only the movement of the carrying vehicle (active mode) is taken into account. [COVERAGE] INLAND WATERWAYS FREIGHT TRANSPORT Data do not include transport in the Caspian Sea, since it is considered as maritime.

  11. y

    Canada Real GDP by Industry: Boiler, Tank, and Shipping Container...

    • ycharts.com
    html
    Updated Oct 31, 2025
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    Statistics Canada (2025). Canada Real GDP by Industry: Boiler, Tank, and Shipping Container Manufacturing [Dataset]. https://ycharts.com/indicators/canada_real_gdp_by_industry_boiler_tank_and_shipping_container_manufacturing
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    htmlAvailable download formats
    Dataset updated
    Oct 31, 2025
    Dataset provided by
    YCharts
    Authors
    Statistics Canada
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 31, 2007 - Aug 31, 2025
    Area covered
    Canada
    Variables measured
    Canada Real GDP by Industry: Boiler, Tank, and Shipping Container Manufacturing
    Description

    View monthly updates and historical trends for Canada Real GDP by Industry: Boiler, Tank, and Shipping Container Manufacturing. Source: Statistics Canada.…

  12. a

    Industry Innovation and Infrastructure

    • honduras-1-sdg.hub.arcgis.com
    • panama-1-sdg.hub.arcgis.com
    • +8more
    Updated Jun 25, 2022
    + more versions
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    arobby1971 (2022). Industry Innovation and Infrastructure [Dataset]. https://honduras-1-sdg.hub.arcgis.com/items/03ae4e9e3d2543feb5ab8697e392593b
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    Dataset updated
    Jun 25, 2022
    Dataset authored and provided by
    arobby1971
    Area covered
    Description

    Goal 9Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovationTarget 9.1: Develop quality, reliable, sustainable and resilient infrastructure, including regional and transborder infrastructure, to support economic development and human well-being, with a focus on affordable and equitable access for allIndicator 9.1.1: Proportion of the rural population who live within 2 km of an all-season roadSP_ROD_R2KM: Proportion of the rural population who live within 2 km of an all-season roadIndicator 9.1.2: Passenger and freight volumes, by mode of transportIS_RDP_FRGVOL: Freight volume, by mode of transport (tonne kilometres)IS_RDP_PFVOL: Passenger volume (passenger kilometres), by mode of transportIS_RDP_PORFVOL: Container port traffic, maritime transport (twenty-foot equivalent units - TEUs)IS_RDP_LULFRG: Freight loaded and unloaded, maritime transport (metric tons)Target 9.2: Promote inclusive and sustainable industrialization and, by 2030, significantly raise industry’s share of employment and gross domestic product, in line with national circumstances, and double its share in least developed countriesIndicator 9.2.1: Manufacturing value added as a proportion of GDP and per capitaNV_IND_MANFPC: Manufacturing value added per capita (constant 2015 United States dollars)NV_IND_MANF: Manufacturing value added (constant 2015 United States dollars) as a proportion of GDP (%)NV_IND_MANF_CD: Manufacturing value added (current United States dollars) as a proportion of GDP (%)Indicator 9.2.2: Manufacturing employment as a proportion of total employmentSL_TLF_MANF: Manufacturing employment as a proportion of total employment (%)Target 9.3: Increase the access of small-scale industrial and other enterprises, in particular in developing countries, to financial services, including affordable credit, and their integration into value chains and marketsIndicator 9.3.1: Proportion of small-scale industries in total industry value addedNV_IND_SSIS: Proportion of small-scale industries in total industry value added (%)Indicator 9.3.2: Proportion of small-scale industries with a loan or line of creditFC_ACC_SSID: Proportion of small-scale industries with a loan or line of credit (%)Target 9.4: By 2030, upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilitiesIndicator 9.4.1: CO2 emission per unit of value addedEN_ATM_CO2: Carbon dioxide emissions from fuel combustion (millions of tonnes)EN_ATM_CO2MVA: Carbon dioxide emissions per unit of manufacturing value added (kilogrammes of CO2 per constant 2015 United States dollars)EN_ATM_CO2GDP: Carbon dioxide emissions per unit of GDP (kilogrammes of CO2 per constant 2010 United States dollars)Target 9.5: Enhance scientific research, upgrade the technological capabilities of industrial sectors in all countries, in particular developing countries, including, by 2030, encouraging innovation and substantially increasing the number of research and development workers per 1 million people and public and private research and development spendingIndicator 9.5.1: Research and development expenditure as a proportion of GDPGB_XPD_RSDV: Research and development expenditure as a proportion of GDP (%)Indicator 9.5.2: Researchers (in full-time equivalent) per million inhabitantsGB_POP_SCIERD: Researchers (in full-time equivalent) per million inhabitants (per 1,000,000 population)Target 9.a: Facilitate sustainable and resilient infrastructure development in developing countries through enhanced financial, technological and technical support to African countries, least developed countries, landlocked developing countries and small island developing StatesIndicator 9.a.1: Total official international support (official development assistance plus other official flows) to infrastructureDC_TOF_INFRAL: Total official flows for infrastructure, by recipient countries (millions of constant 2018 United States dollars)Target 9.b: Support domestic technology development, research and innovation in developing countries, including by ensuring a conducive policy environment for, inter alia, industrial diversification and value addition to commoditiesIndicator 9.b.1: Proportion of medium and high-tech industry value added in total value addedNV_IND_TECH: Proportion of medium and high-tech industry value added in total value added (%)Target 9.c: Significantly increase access to information and communications technology and strive to provide universal and affordable access to the Internet in least developed countries by 2020Indicator 9.c.1: Proportion of population covered by a mobile network, by technologyIT_MOB_2GNTWK: Proportion of population covered by at least a 2G mobile network (%)IT_MOB_3GNTWK: Proportion of population covered by at least a 3G mobile network (%)IT_MOB_4GNTWK: Proportion of population covered by at least a 4G mobile network (%)

  13. A

    Azerbaijan AZ: Total Inland Freight Transport: Tonne-km per One Thousand...

    • ceicdata.com
    + more versions
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    CEICdata.com, Azerbaijan AZ: Total Inland Freight Transport: Tonne-km per One Thousand Units of Current USD GDP [Dataset]. https://www.ceicdata.com/en/azerbaijan/freight-transport-by-mode-of-transport-non-oecd-member-annual/az-total-inland-freight-transport-tonnekm-per-one-thousand-units-of-current-usd-gdp
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    Azerbaijan
    Description

    Azerbaijan Total Inland Freight Transport: Tonne-km per One Thousand Units of Current USD GDP data was reported at 1,249.195 Ratio in 2023. This records an increase from the previous number of 1,114.133 Ratio for 2022. Azerbaijan Total Inland Freight Transport: Tonne-km per One Thousand Units of Current USD GDP data is updated yearly, averaging 2,139.077 Ratio from Dec 1994 (Median) to 2023, with 30 observations. The data reached an all-time high of 7,970.641 Ratio in 1994 and a record low of 1,114.133 Ratio in 2022. Azerbaijan Total Inland Freight Transport: Tonne-km per One Thousand Units of Current USD GDP data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Azerbaijan – Table AZ.OECD.ITF: Freight Transport by Mode of Transport: Non OECD Member: Annual. [COVERAGE] TOTAL INLAND FREIGHT TRANSPORT Rail freight transport is any movement of goods using a railway vehicle or a given railway network. When a railway is being carries on another rail vehicle only the movement of the carrying vehicle (active mode) is being considered. Road freight transport is any movement of goods using a road vehicle on a given road network. When a road vehicle is being carried on another vehicle, only the movement of the carrying vehicle (active mode) is considered. Inland waterways freight transport is any movement of goods using IWT vessels which is undertaken wholly or partly on navigable inland waterways. Bunkers and stores supplied to vessels in ports are excluded. When an IWT vessel is being carried on another vehicle, only the movement of the carrying vehicle (active mode) is taken into account. Pipeline transport is any movement of crude or refined liquid petroleum products or gases in a given pipeline network. [COVERAGE] TOTAL INLAND FREIGHT TRANSPORT Inland waterways freight transport does not include transport in the Caspian Sea, since it is considered as maritime. TOTAL INLAND FREIGHT TRANSPORT Since 2008, rail freight transport decreased mainly because of increases in railway freight tariffs. Since 2008, road freight transport increased mainly because of decreases in road freight tariffs. In 2006, there was an increase in pipeline transport due to the creation of the Baku-Tbilisi-Ceyhan oil pipeline. In 2007, there was an increase in pipeline transport due to the creation of the South Caucasian gas pipeline.

  14. Boiler, tank and shipping container manufacturing GDP Canada 2016

    • statista.com
    Updated Nov 27, 2025
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    Statista (2025). Boiler, tank and shipping container manufacturing GDP Canada 2016 [Dataset]. https://www.statista.com/statistics/441452/gdp-for-boiler-tank-shipping-container-manufacturing-sector-in-canada/
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    Dataset updated
    Nov 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The statistic shows the gross domestic product (GDP) at basic prices for the Canadian boiler, tank and shipping container manufacturing industry between 2010 and 2016. In 2016, the GDP for the boiler, tank and shipping container manufacturing industry stood at *** billion Canadian dollars.

  15. C

    Canada Freight Forwarders Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 23, 2025
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    Market Report Analytics (2025). Canada Freight Forwarders Market Report [Dataset]. https://www.marketreportanalytics.com/reports/canada-freight-forwarders-market-93350
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Apr 23, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Canada
    Variables measured
    Market Size
    Description

    The Canadian freight forwarding market, encompassing air, sea, and road transportation, is experiencing robust growth, driven by the expansion of e-commerce, increasing cross-border trade, and the nation's robust resource extraction sectors. The market size, while not explicitly stated, can be reasonably estimated based on comparable developed economies and the significant contribution of logistics to Canada's GDP. Assuming a market size of approximately $25 billion CAD in 2025, a plausible CAGR (Compound Annual Growth Rate) of 4-5% would be consistent with North American logistics trends. This growth is fueled by several key factors: the burgeoning e-commerce sector demanding efficient and reliable delivery services; increased international trade activity, particularly with the US and Asia; and the ongoing need for transporting raw materials and finished goods within Canada's vast geographical expanse. The key segments showing strong growth are likely the Courier, Express, and Parcel (CEP) services, reflecting the e-commerce boom, and freight forwarding via road transport given its cost-effectiveness for shorter distances. However, challenges remain. Fluctuations in fuel prices, driver shortages, and infrastructure limitations (particularly in certain regions) pose restraints to market expansion. The increasing focus on sustainability and reducing carbon emissions is likely driving adoption of greener transportation methods, influencing the market toward solutions incorporating rail and potentially alternative fuel sources. Furthermore, the competitive landscape is characterized by a mix of large multinational players and smaller regional companies, leading to dynamic pricing strategies and service offerings. The segments of warehousing and storage, particularly temperature-controlled facilities, are poised for growth in line with the expanding food processing and pharmaceutical sectors in Canada. The continued development of technologically advanced logistics solutions like real-time tracking and optimized routing will further shape market competitiveness. Recent developments include: February 2024: C.H. Robinson has developed a new technology that creates a major efficiency in freight shipping: removing the work of scheduling an appointment at the place where a load needs to be picked up and scheduling another appointment where the load needs to be delivered. The technology also uses artificial intelligence to determine the optimal appointment, based on transit-time data from C.H. Robinson’s millions of shipments across 300,000 shipping lanes.January 2024: Kuehne + Nagel has announced its Book & Claim insetting solution for electric vehicles, to improve its decarbonization solutions. Developing Book & Claim insetting solutions for road freight was a strategic priority for Kuehne + Nagel. Customers who use Kuehne + Nagel's road transport services can now claim the carbon reductions of electric trucks when it is not possible to physically move their goods on these vehicles.November 2023: DB Schenker, in partnership with American Airlines Cargo, announces an advancement in airfreight operations. The introduction of an API (Application Programming Interface) connection, introduced on November 14th, 2023, marks the next step in digitalizing and streamlining airfreight booking processes.. Notable trends are: OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT.

  16. C

    Canada GDP: CL 2002p: saar: Mfg: PF: FM: Boiler, Tank & Shipping Container

    • ceicdata.com
    + more versions
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    CEICdata.com, Canada GDP: CL 2002p: saar: Mfg: PF: FM: Boiler, Tank & Shipping Container [Dataset]. https://www.ceicdata.com/en/canada/csna-1997-gdp-by-industry-chain-linked-2002-price-saar/gdp-cl-2002p-saar-mfg-pf-fm-boiler-tank--shipping-container
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 1, 2011 - Oct 1, 2012
    Area covered
    Canada
    Variables measured
    Gross Domestic Product
    Description

    Canada GDP: CL 2002p: saar: Mfg: PF: FM: Boiler, Tank & Shipping Container data was reported at 1,697.000 CAD mn in Oct 2012. This records an increase from the previous number of 1,582.000 CAD mn for Sep 2012. Canada GDP: CL 2002p: saar: Mfg: PF: FM: Boiler, Tank & Shipping Container data is updated monthly, averaging 1,427.500 CAD mn from Jan 1997 (Median) to Oct 2012, with 190 observations. The data reached an all-time high of 1,703.000 CAD mn in Jun 2003 and a record low of 1,116.000 CAD mn in Jul 1999. Canada GDP: CL 2002p: saar: Mfg: PF: FM: Boiler, Tank & Shipping Container data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.A061: CSNA 1997: GDP: by Industry: Chain Linked 2002 Price: saar. Annualized monthly data

  17. C

    Canada GDP: CL 2017p: saar: Mfg: FM: Boiler, Tank & Shipping Container

    • ceicdata.com
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    CEICdata.com, Canada GDP: CL 2017p: saar: Mfg: FM: Boiler, Tank & Shipping Container [Dataset]. https://www.ceicdata.com/en/canada/csma-gdp-by-industry-chain-linked-2017-price-saar/gdp-cl-2017p-saar-mfg-fm-boiler-tank--shipping-container
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    Canada
    Description

    Canada GDP: CL 2017p: saar: Mfg: FM: Boiler, Tank & Shipping Container data was reported at 1,032.000 CAD mn in Feb 2025. This records a decrease from the previous number of 1,128.000 CAD mn for Jan 2025. Canada GDP: CL 2017p: saar: Mfg: FM: Boiler, Tank & Shipping Container data is updated monthly, averaging 1,559.000 CAD mn from Jan 1997 (Median) to Feb 2025, with 338 observations. The data reached an all-time high of 2,052.000 CAD mn in Jun 2003 and a record low of 950.000 CAD mn in Apr 2020. Canada GDP: CL 2017p: saar: Mfg: FM: Boiler, Tank & Shipping Container data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.A030: CSMA: GDP by Industry: Chain Linked 2017 Price: saar.

  18. D

    Denmark DK: Pipeline Transport: Tonne-km per One Thousand Units of Current...

    • ceicdata.com
    Updated Jan 17, 2022
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    CEICdata.com (2022). Denmark DK: Pipeline Transport: Tonne-km per One Thousand Units of Current USD GDP [Dataset]. https://www.ceicdata.com/en/denmark/freight-transport-by-mode-of-transport-oecd-member-annual/dk-pipeline-transport-tonnekm-per-one-thousand-units-of-current-usd-gdp
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    Dataset updated
    Jan 17, 2022
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Denmark
    Description

    Denmark DK: Pipeline Transport: Tonne-km per One Thousand Units of Current USD GDP data was reported at 6.470 Ratio in 2016. This records a decrease from the previous number of 7.460 Ratio for 2015. Denmark DK: Pipeline Transport: Tonne-km per One Thousand Units of Current USD GDP data is updated yearly, averaging 17.222 Ratio from Dec 1994 (Median) to 2016, with 23 observations. The data reached an all-time high of 28.570 Ratio in 2000 and a record low of 6.470 Ratio in 2016. Denmark DK: Pipeline Transport: Tonne-km per One Thousand Units of Current USD GDP data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Denmark – Table DK.OECD.ITF: Freight Transport by Mode of Transport: OECD Member: Annual. [COVERAGE] PIPELINE TRANSPORT Pipeline transport is any movement of crude or refined liquid petroleum products or gases in a given pipeline network. [COVERAGE] PIPELINE TRANSPORT Data do not include transport of gas, but include transport of crude oil, including water, from the North Sea.

  19. United Arab Emirates Logistics Market Analysis - Size and Forecast 2025-2029...

    • technavio.com
    pdf
    Updated Feb 21, 2025
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    Technavio (2025). United Arab Emirates Logistics Market Analysis - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/logistics-market-industry-in-uae-analysis
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    pdfAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    United Arab Emirates
    Description

    Snapshot img

    United Arab Emirates Logistics Market Size 2025-2029

    The United Arab Emirates logistics market size is forecast to increase by USD 11.37 billion at a CAGR of 7.1% between 2024 and 2029.

    Market Size & Forecast

    Market Opportunities: USD 60.44 billion
    Market Future Opportunities: USD USD 11.37 billion 
    CAGR : 7.1%
    

    Market Summary

    The Logistics Market in the United Arab Emirates (UAE) is a significant contributor to the country's economic growth, with the sector's value reaching an estimated indexed growth of 13.5% in 2020 compared to 2019, according to recent market analysis. The market's expansion is driven by the UAE's strategic location as a global trade hub, advanced infrastructure, and increasing investment in technology. The logistics sector's growth is particularly noticeable in the e-commerce segment, which has seen a substantial increase in demand due to the ongoing digital transformation. In fact, e-commerce logistics accounted for over 30% of the total logistics market share in 2020.
    Furthermore, the adoption of advanced technologies, such as automation and artificial intelligence, is streamlining operations and enhancing efficiency. Moreover, the UAE's logistics sector is undergoing a shift towards sustainability, with a growing focus on reducing carbon emissions and adopting green logistics practices. This trend is expected to gain momentum as the UAE strives to meet its net-zero carbon emissions target by 2050. Overall, the logistics market in the UAE continues to evolve, presenting numerous opportunities for businesses and investors alike.
    

    What will be the size of the United Arab Emirates Logistics Market during the forecast period?

    Explore in-depth regional segment analysis with market size data with forecasts 2025-2029 - in the full report.
    Request Free Sample

    The logistics market in the United Arab Emirates (UAE) is a significant contributor to the region's economic growth, accounting for a substantial percentage of the country's Gross Domestic Product (GDP). Currently, the market occupies a double-digit market share within the Middle East and North Africa (MENA) region. Looking ahead, the logistics sector in the UAE is projected to experience a steady expansion, with industry experts estimating a growth rate of approximately 6% annually. This expansion is driven by several factors, including the increasing demand for e-commerce and the ongoing development of infrastructure projects. A comparison of key performance indicators highlights the market's robustness.
    For instance, on-time delivery rates in the UAE logistics sector are consistently above 95%, while order accuracy metrics exceed 98%. These figures underscore the sector's commitment to operational efficiency and customer satisfaction. Moreover, the adoption of advanced technologies, such as AI-powered logistics and cloud-based solutions, is on the rise. This trend is expected to further boost the sector's growth and improve overall performance. For example, the implementation of transport planning software and fleet maintenance schedules has led to significant fuel efficiency gains, reducing logistics costs and enhancing operational efficiency. In summary, the logistics market in the UAE is a vital component of the country's economy, with a strong current performance and promising future growth prospects.
    The sector's commitment to innovation, operational efficiency, and customer satisfaction sets it apart, making it an attractive investment opportunity for businesses looking to expand their presence in the region.
    

    How is this United Arab Emirates Logistics Market segmented?

    The United Arab Emirates logistics market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029,for the following segments.

    Application
    
      Transportation
      Inventory holding
      Administration
    
    
    End-user
    
      Manufacturing
      Retail
      Healthcare
      Automobile
      Others
    
    
    Channel
    
      B2B
      B2C
    
    
    Type
    
      3PL
      2PL
      4PL
      1PL
    
    
    Geography
    

    By Application Insights

    The transportation segment is estimated to witness significant growth during the forecast period.

    Logistics in the United Arab Emirates (UAE) is a critical component of the country's thriving business landscape. This market encompasses the planning, execution, and control of the procurement, movement, and stationing of materials, personnel, and resources. It is an integral part of supply chain management and includes various services such as freight forwarding, multimodal transport via sea, road, air, and rail, order fulfillment, supply chain visibility, and sustainable logistics practices. The logistics sector in the UAE is experiencing significant growth, with order fulfillment processes becoming increasingly efficient. Supply chain visibility is improving, allowing businesses to better manage their invento

  20. C

    Canada GDP: 2007p: saar: Mfg: FM: Boiler, Tank & Shipping Container

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Canada GDP: 2007p: saar: Mfg: FM: Boiler, Tank & Shipping Container [Dataset]. https://www.ceicdata.com/en/canada/csna-2012-gdp-by-industry-2007-price-saar/gdp-2007p-saar-mfg-fm-boiler-tank--shipping-container
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 1, 2017 - Aug 1, 2018
    Area covered
    Canada
    Variables measured
    Gross Domestic Product
    Description

    Canada GDP: 2007p: saar: Mfg: FM: Boiler, Tank & Shipping Container data was reported at 1,322.000 CAD mn in Aug 2018. This records an increase from the previous number of 1,222.000 CAD mn for Jul 2018. Canada GDP: 2007p: saar: Mfg: FM: Boiler, Tank & Shipping Container data is updated monthly, averaging 1,497.500 CAD mn from Jan 1997 (Median) to Aug 2018, with 260 observations. The data reached an all-time high of 1,894.000 CAD mn in Jun 2003 and a record low of 1,034.000 CAD mn in Apr 2017. Canada GDP: 2007p: saar: Mfg: FM: Boiler, Tank & Shipping Container data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.A053: CSNA 2012: GDP: by Industry: 2007 Price: saar.

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Statista (2022). GDP of the U.S. attributed to transportation by mode and type of transportation 2019 [Dataset]. https://www.statista.com/statistics/1342180/united-states-gdp-attributed-to-transportation-by-mode-type/
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GDP of the U.S. attributed to transportation by mode and type of transportation 2019

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Dataset updated
Oct 27, 2022
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2019
Area covered
United States
Description

In 2019, the trucking industry was responsible for the highest contribution to the United States' GDP within the U.S. transportation sector. That year, the trucking industry contributed ***** billion U.S. dollars to the U.S. GDP.

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